Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Mathematical Modeling and Simulation: Introduction for Scientists and Engineers

Mathematical Modeling and Simulation: Introduction for Scientists and Engineers

Velten, Kai
Schmidt, Dominik M.
Kahlen, Katrin

Paperback

Technology & EngineeringGeneral MathematicsPhysics

ISBN10: 3527414142
ISBN13: 9783527414147
Publisher: Wiley-Vch
Published: Dec 31 2024
Pages: 496
Weight: 1.73
Height: 1.00 Width: 6.69 Depth: 9.61
Language: English
Reviews of the first edition (2009):

Perfectly fits introductory modeling courses [...] and is an enjoyable reading in the first place. Highly recommended [...]
Zentralblatt MATH, European Mathematical Society, 2009

This book differs from almost all other available modeling books in that [the authors address] both mechanistic and statistical models as well as 'hybrid' models. [...] The modeling range is enormous.
SIAM Society of Industrial and Applied Mathematics, USA, 2011

This completely revised and substantially extended second edition answers the most important questions in the field of modeling: What is a mathematical model? What types of models do exist? Which model is appropriate for a particular problem? What are simulation, parameter estimation, and validation? What kind of mathematical problems appear and how can these be efficiently solved using professional free of charge open source software?
The book addresses undergraduates and practitioners alike. Although only basic knowledge of calculus and linear algebra is required, the most important mathematical structures are discussed in sufficient detail, ranging from statistical models to partial differential equations and accompanied by examples from biology, ecology, economics, medicine, agricultural, chemical, electrical, mechanical, and process engineering.
About 200 pages of additional material include a unique chapter on virtualization, Crash Courses on the data analysis and programming languages R and Python and on the computer algebra language Maxima, many new methods and examples scattered throughout the book and an update of all software-related procedures and a comprehensive book software providing templates for typical modeling tasks in thousands of code lines. The book software includes GmLinux, an operating system specifically designed for this book providing preconfigured and ready-to-use installations of OpenFOAM, Salome, FreeCAD/CfdOF workbench, ParaView, R, Maxima/wxMaxima, Python, Rstudio, Quarto/Markdown and other free of charge open source software used in the book.

1 different editions

Also available

Also from

Velten, Kai

View All

Also in

Physics

View All